Confidently extract data, topic, and document classification
Use Cases and Deployment Scope
Extracting Key-phrases and personally identifiable information from the litigation documents is the main task needed to fulfil the requirement of the clients. Using spring boot REST application, integration with Amazon Comprehend service we analyse litigation text documents files. Using java SDK, send the request to the service with a text file to extract Key-phrases and PII(personally identifiable information) and get back response with JSON format. Amazon Comprehend extract KP and PII that appears in litigation text documents.
Pros
- Amazon Comprehend identifies the language of the text and extracts Key-phrases, places, people, brands or events.
- It can build a custom set of entities or text classification models that are tailored uniquely to the organisation's need
- Amazon Comprehend's medical can be used to identify medical conditions, medications, dosages, strength and frequencies from sources like doctor's notes, clinical trial reports and patient health records. This service is very good and with well an accuracy or confidence score.
Cons
- It will be great if Amazon Comprehend provide support specifically for litigation or related text documents to extract insights from it.
- For REST API support using JAVA SDK, it will be great for developers if they provide support for testing without any credentials or account details.
- Setting up for REST API integration can be as simple as possible.
Most Important Features
- Process texts to pick relationships and sentiment as well as extract Key-phrases and Personally identifiable information.
- Organise documents or text as per topics or tags
- Pricing - Pay for what we use.
- No machine learning experience is required.
Return on Investment
- It supports better and accurately as compared with our existing or old implementations. So, we fulfil our needs as per clients' requirements and it will help to grow or improve client satisfaction.
- For these specific requirements, we do not require any machine learning engineers or related professionals to hire in our organisation.
- None of any negative sides can be affected our business or distract existing clients.
Alternatives Considered
Microsoft Azure and Google Cloud AI
Other Software Used
Amazon Rekognition, Amazon Transcribe, IBM Watson Speech to Text
